AWSDataEngineer - VP Level Location: London (Canary Wharf) Salary: £(phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWSDataEngineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical … leadership, and cross-functional collaboration across business units. Key Responsibilities: * Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. * Implement robust data governance, quality, and security practices. * Collaborate with data scientists to deploy machine learning models. * Lead or contribute to strategic planning, risk management, and stakeholder engagement. * Drive innovation through … advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWSdata engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, dataMore ❯
Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Job Description: We are looking for a seasoned AWSDataEngineer to join our team and contribute to the development of scalable, secure, and high-performance data solutions. This role involves modernizing … mainframe legacy systems, building robust data pipelines, and enabling advanced analytics using AWS-native technologies. You’ll collaborate with cross-functional teams and play a key role in shaping our data strategy. Skills Must have : Proven experience in designing and maintaining scalable data lakes using AWS S3, with strong understanding of data lifecycle, access control, and performance optimization. Hands-on experience migrating data from Mainframes to AWS, including transformation and validation of legacy formats. Proficiency in reading and processing VSAM data using Copybooks and the Cobrix library. Experience implementing data retention and archival strategies in cloud environments. Strong understanding and practical implementation of More ❯
london (city of london), south east england, united kingdom
HCLTech
Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Job Description: We are looking for a seasoned AWSDataEngineer to join our team and contribute to the development of scalable, secure, and high-performance data solutions. This role involves modernizing … mainframe legacy systems, building robust data pipelines, and enabling advanced analytics using AWS-native technologies. You’ll collaborate with cross-functional teams and play a key role in shaping our data strategy. Skills Must have : Proven experience in designing and maintaining scalable data lakes using AWS S3, with strong understanding of data lifecycle, access control, and performance optimization. Hands-on experience migrating data from Mainframes to AWS, including transformation and validation of legacy formats. Proficiency in reading and processing VSAM data using Copybooks and the Cobrix library. Experience implementing data retention and archival strategies in cloud environments. Strong understanding and practical implementation of More ❯
Senior AWSDataEngineer - London - £125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused … on transforming how market data is accessed and utilised. As a Senior AWSDataEngineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and … complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWSdata tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance More ❯
